[2] Cao Pengfei, Li Hongning, Luo Yanlin, et al.. Selection of feature bands for phaseolus vulgaris leaves based on multispectral imaging[J]. Laser & Optoelectronics Progress, 2014, 51(1): 011101.
[3] Yang L M, Sun Q. Recognition of the hardness of licorice seeds using a semi-supervised learning method[J]. Chemometrics and Intelligent Laboratory Systems, 2012, 114: 109-115.
[4] Nie F P, Meng G F, Pan C H, et al.. Discriminative least squares regression for multiclass classification and feature selection[J]. IEEE Transactions on Neural Networks and Learning Systems, 2012, 23(11): 1738-1754.
[5] Yu Xiaoya, Zhang Yujun, Yin Gaofang, et al.. Feature wavelength selection of phytoplankton fluorescence spectra based on partial least squares[J]. Acta Optica Sinica, 2014, 34(9): 0930002.
[6] Huang G B, Zhu Q Y, Siew C K. Extreme learning machine: Theory and application[J]. Neurocomputing, 2006, 70(1-3): 489-501.
[7] Vapnik V N. Statistical Learning Theory[M]. New York: Wiley-Interscience, 1998.
[8] Wang Y G, Cao F L, Yuan Y B. A study on effectiveness of extreme learning machine[J]. Neurocomputing, 2011, 74(16): 2483-2490.
[9] Zhang Haidong, Li Guirong, Li Ruocheng, et al.. Determination of tea polyphenols content in puerh tea using near-infrared spectroscopy combined with extreme learning machine and GA-PLS algorithm[J]. Laser & Optoelectronics Progress, 2013, 50(4): 043001
[10] Horata P, Chiewchanwattana S, Sunat K. Robust extreme learning machine[J]. Neurocomputing, 2013, 10(2): 31-44.
[11] Yuan Y B, Wang Y G, Cao F L. Optimization approximation solution for regression problem based on extreme learning machine[J]. Neurocomputing, 2011, 74(16): 2475-2482.
[12] Cao H R, Liu X. System identification based on the least absolute criteria[J]. Techniques of Automation and Applications, 2009, 28(7): 8-10.
[13] Gu Yuemin. Least absolute deviation curve fitting[J]. Journal of Tongji University, 2011, 39(9): 1377-1382.
[14] Peng X. TSVR: An efficient twin support vector machine for regression[J]. Neural Networks, 2010, 23(3): 365-372.
